Instructions to use MonsterMMORPG/Wan_GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MonsterMMORPG/Wan_GGUF with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("MonsterMMORPG/Wan_GGUF", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Ctrl+K
Upload flash_attn-2.8.4+cu130torch211cuda131mainrtx30rtx40rtx50sm86sm89sm120sm120a-cp311-cp311-win_amd64.whl
1a8e64d verified - ACEStep_1_5_XL_Base_BF16
- ACEStep_1_5_XL_SFT_BF16
- ACEStep_1_5_XL_Turbo_BF16
- FLUX_2_Models
- FlashVSR_VAEs
- Glyph-SDXL-v2
- HunyuanImage-2.1_vae
- IDM-VTON
- Index_TTS2
- Levo_Song_Generation
- Ovi_Premium
- Qwen2.5-VL-7B-Instruct
- RIFE_Models
- RMBG2
- RVC_Demo_Voices
- SparkVSR-bf16
- Speaker_Diarization_3_1
- Trellv2
- UltraShape_For_Trellis2
- VibeVoice_4bit
- VibeVoice_BF16
- Viso_Master_Models
- Z-Image-Turbo-Models
- byt5
- dinov2-large
- pyannote_segmentation3
- reprompt
- sam-3d-objects
- 16.1 kB
- 61.9 kB
- 1.17 GB xet
- 7.75 GB xet
- 9.43 GB xet
- 18.2 GB xet
- 7.75 GB xet
- 9.43 GB xet
- 18.2 GB xet
- 18.2 GB xet
- 9.43 GB xet
- 6.93 GB xet
- 8.42 GB xet
- 9.85 GB xet
- 12.7 GB xet
- 8.67 GB xet
- 6.79 GB xet
- 23.8 GB xet
- 22.8 GB xet
- 1.08 kB
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- 9.19 GB xet